Question at position 8 What key trade-off must designers consider when deciding 'what information will you store together' during normalisation?Choosing between using SQL or SPARQLBalancing the convenience of duplicating data against the benefits of reducing redundancy and enabling more flexible queriesBalancing the number of tables against the number of network edgesDeciding which users will be allowed to see the data dictionaryClear my selection

Question

Question at position 8 What key trade-off must designers consider when deciding 'what information will you store together' during normalisation?Choosing between using SQL or SPARQLBalancing the convenience of duplicating data against the benefits of reducing redundancy and enabling more flexible queriesBalancing the number of tables against the number of network edgesDeciding which users will be allowed to see the data dictionaryClear my selection

BlackTom AI · Accepted Answer

Normalization seeks to reduce redundancy and ensure data integrity, but designers must balance that goal against practical concerns like query performance and ease of use.

1. Relevant knowledge points and concepts
- Normalization: organizing data into tables (or entities) to minimize redundancy and prevent update, insert, and delete anomalies.
- Denormalization: intentionally duplicating data to simplify queries or improve read performance.
- Trade-offs: Reduced redundancy and stronger consistency vs. faster, simpler queries and fewer joins when duplicating data.

2. Step-by-step reasoning process
Step 1: Identify functional dependencies and candidate keys to decide what belongs together (normal forms).
Step 2: Consider access patterns: if many queries need joined data, separating into many tables increases join cost.
Step 3: Consider update patterns: if duplicated data is frequently updated, redundancy causes higher maintenance and risk of inconsistency.
Step 4: Weigh benefits: if read performance and simpler queries are paramount, duplicating some data (denormalization) may be justified; if consistency and minimal storage are critical, keep data normalized.

3. Intermediate/example steps
Example: 1,000 orders reference shipping addresses but there are only 10 unique addresses. Storing the full address with each order duplicates it 990 times (risking inconsistency and extra storage). Normalizing by putting addresses in a separate table means one address record and 1,000 small foreign-key references, but queries showing order+address require a join. If the system prioritizes read speed and joins are expensive, duplicating addresses might be chosen despite redundancy.

4. Why the correct answer is correct
The correct option explicitly captures the central design trade-off: balancing the convenience of duplicating data (denormalization) against the benefits of reducing redundancy and enabling more flexible, consistent queries (normalization).

5. Why the other options are incorrect
- Choosing between SQL or SPARQL: relates to query language/technology, not the normalization decision of what data to store together.
- Balancing the number of tables against the number of network edges: mixes database modeling with graph concepts; “network edges” is irrelevant to classic normalization.
- Deciding which users see the data dictionary: concerns access control/security, not the structural trade-off of data duplication vs redundancy.

6. Conclusion
Therefore, the correct choice is "Balancing the convenience of duplicating data against the benefits of reducing redundancy and enabling more flexible queries," which matches the provided answer.

类似问题

Question at position 19 Which of the following is a goal of a normalized relational database?Allow multiple users to access data without securityUse data silosEliminate redundant data by using linksStore all data in a single tableClear my selection

Question at position 11 Which of the following is a goal of a normalized relational database?Use data silosEliminate redundant data by using linksAllow multiple users to access data without securityStore all data in a single tableClear my selection

Question at position 6 Which of the following is a goal of a normalized relational database?Use data silosAllow multiple users to access data without securityEliminate redundant data by using linksStore all data in a single tableClear my selection

The process of Normalization is primarily about:

Which of the following is NOT something normalization is trying to do?

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